Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Life Sciences (5)
- Biology (4)
- Medical Sciences (2)
- Bacteria (1)
- Biological and Chemical Physics (1)
-
- Computational Neuroscience (1)
- Computer Sciences (1)
- Genetic Processes (1)
- Medical Biophysics (1)
- Medical Education (1)
- Medical Specialties (1)
- Neurology (1)
- Neuroscience and Neurobiology (1)
- Neurosciences (1)
- Neurosurgery (1)
- Numerical Analysis and Scientific Computing (1)
- Organisms (1)
- Physical Sciences and Mathematics (1)
- Physics (1)
- Viruses (1)
Articles 1 - 6 of 6
Full-Text Articles in Medicine and Health Sciences
Science Alive, Trisha Sudhakar, Rajin Persaud
Science Alive, Trisha Sudhakar, Rajin Persaud
Trick to the Treat of Internships and Research
The goal of Science Alive is to provide a “sense of wonder” not only for the grade-school children but for the college students and their faculty as well. Science Alive serves to reinforce the scientific knowledge of local grade-school students and community members, while enhancing the education and career development opportunities for college students. Our group does this by providing opportunities for youth to explore science beyond the textbooks through hands-on, interactive discovery, which stimulates interest and fosters confidence for college and grade-school students alike. Our groups lead on-campus and in-class workshops, weekend clubs, after-school programs, and other community events. …
Sea-Phages Research Opportunity, Sarah Ballarin
Sea-Phages Research Opportunity, Sarah Ballarin
Trick to the Treat of Internships and Research
Research opportunity targeted for freshmen and sophomores through the SEA-PHAGES program. The goal of the research is to discover new bacteriophages (viruses that infect bacteria) to help combat antibiotic resistance. Phage therapy is a promising alternative to conventional antibiotics. Phages have also been widely used in the food industry to prevent microbial growth on certain foods and are currently being explored as a method for bioremediation of oil spills and wastewater treatment.
Last year, my research team discovered two new bacteriophages: Genamy16 and NovaSharks that were able to infect the bacteria Gordonia rubripertincta. These phages can possibly be used for …
Trick To The Treat: Penn Medicine Princeton Health Hospital, Divya Papaiya
Trick To The Treat: Penn Medicine Princeton Health Hospital, Divya Papaiya
Trick to the Treat of Internships and Research
No abstract provided.
Pfizer Summer Growth Experience, Arman Kakkar
Pfizer Summer Growth Experience, Arman Kakkar
Trick to the Treat of Internships and Research
From May 9, 2022 till July 29, 2022, I served as a Research Intern at Pfizer. Specifically, I worked in the Vaccine Research and Development Sector in the High Throughput Clinical Immunoassays and Diagnostics Group (HCID). In this group, I was responsible for Phase 3 testing of clinical trial material for the Covid-19 Vaccine. Over this time, I learned a great deal about the process of vaccine production from start to finish. Additionally, I was able to make numerous connections. This is definitely an experience I would recommend to others.
The Potential Role Of Virtual Reality Simulation To Meet Core Competencies In Non-Technical Skills In Physician Assistant Education, Jonathan D. Caplan
The Potential Role Of Virtual Reality Simulation To Meet Core Competencies In Non-Technical Skills In Physician Assistant Education, Jonathan D. Caplan
NSU REACH and IPE Day
please see poster presentation
Seizure Prediction In Epilepsy Patients, Gary Dean Cravens
Seizure Prediction In Epilepsy Patients, Gary Dean Cravens
NSU REACH and IPE Day
Purpose/Objective: Characterize rigorously the preictal period in epilepsy patients to improve the development of seizure prediction techniques. Background/Rationale: 30% of epilepsy patients are not well-controlled on medications and would benefit immensely from reliable seizure prediction. Methods/Methodology: Computational model consisting of in-silico Hodgkin-Huxley neurons arranged in a small-world topology using the Watts-Strogatz algorithm is used to generate synthetic electrocorticographic (ECoG) signals. ECoG data from 18 epilepsy patients is used to validate the model. Unsupervised machine learning is used with both patient and synthetic data to identify potential electrophysiologic biomarkers of the preictal period. Results/Findings: The model has shown states corresponding to …